Testing Machine Learning Applications

I'm trying to find research papers that discuss methods of testing machine learning applications.
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So far I have these 3:
Parameterizing Random Test Data According to Equivalence Classes
[http://www.lsi.upc.edu/~marias/papers/rt07.pdf]
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Assessment of Software Testing Time Using Soft Computing Techniques
[http://dl.acm.org/citation.cfm?id=2088895&dl=ACM&coll=DL&CFID=361199750&CFTOKEN=58909301]
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A Novel Local Patch Framework for Fixing Supervised Learning Models [http://www.cs.ucsb.edu/~yileiwang/papers/Local%20Patch.pdf]
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Any help would be greatly appreciated! Thanks